import numpy as np


def get_betas_dict():
    return {
        "欧阳君奕": np.float32([0.6540, 0.7619, 1.0446, -0.8461, -0.2802, -0.9286, 0.1550, 0.0490, 0.3746, 0.0699]),
        "薛晗": np.float32([-0.4547, 0.5060, 0.3611, -0.4688, -0.0344, -0.4341, 0.0989, 0.0243, 0.1698, 0.0177]),
        "刘昀": np.float32([0.2528, -0.3116, -0.2658, -0.2683, 0.0825, -0.3054, -.1358, -0.2293, 0.1365, -0.0711]),  # 20230323_debug2
        "徐涵宇": np.float32([0.0699, 0.1627, 0.8757, -0.4560, -0.2542, -0.7182, 0.1600, -0.0535, 0.2521, -0.0043]),  # loss=0.0048
        "王笑涵": np.float32([-1.3930, 0.2333, 0.6429, -0.5145, -0.0695, -0.6714, 0.2170, -0.0930, 0.2071, -0.0598]),  # loss=0.0052
        "王钰坤": np.float32([0.1474, -0.2972, -1.2476, 0.2000, 0.3102, 0.5658, -0.1008, -0.0884, -0.0360, -0.0041]),  # loss=0.0036
        "林俊宇": np.float32([0.3535, 0.4449, -0.8981, 0.0520, 0.3193, 0.4331, -0.0690, 0.1104, 0.2553, 0.0881]),  # loss=0.0043
        "李文爽": np.float32([0.4338, -2.0795, -2.2454, 0.4922, 0.3975, 0.7616, -0.0514, -0.5897, -0.5555, -0.2729]),  # loss=0.0330, GG
        "刘佳睿": np.float32([-0.8006, -0.0927, 0.0897, -0.4182, -0.0687, -0.3970, 0.0867, -0.1727, 0.1520, -0.0257]),  # loss=0.0045
        "薛文瀚": np.float32([-0.3172, -0.1476, -0.7392, -0.6337, 0.1550, -0.3708, 0.1498, -0.2873, 0.4362, -0.0398]),  # loss=0.0131
        "谢欣栩": np.float32([-0.9058, -2.2820, 0.2079, 0.3337, -0.4937, -0.0541, -0.1308, -0.6071, -1.0521, -0.2498]),  # loss=0.0350, GG
        "汪雨帆": np.float32([-1.3284, -2.1508, -1.5493, 0.6207, 0.3510, 0.6254, 0.0294, -0.5349, -0.8354, -0.3548]),  # loss=0.0342, GG
        "张圣哲": np.float32([0.6028, -0.9975, -2.7638, 0.4712, 0.7278, 1.1796, -0.1317, -0.2735, -0.1282, -0.0978]),  # loss=0.0199
        "徐嘉彤": np.float32([-0.2403, -1.6449, -1.2525, 0.7429, 0.2040, 0.7932, -0.1335, -0.3288, -0.7763, -0.2054]),  # loss=0.0154
        "陈俊哲": np.float32([1.3972, -2.0014, -2.5732, 1.2133, 0.4166, 1.6386, -0.3768, -0.4056, -0.9559, -0.1730]),  # loss=0.0298, GG
        "徐雅伶": np.float32([-1.5010, -1.4451, -2.5631, 0.3453, 0.7408, 0.8610, 0.0347, -0.4540, -0.3428, -0.2608]),  # loss=0.0304, GG
        "赵一鸣": np.float32([1.1115, -1.0247, -1.5420, 0.2672, 0.2407, 0.5601, -0.1020, -0.2891, -0.1665, -0.0773]),  # loss=0.0094
        "汪子凡": np.float32([0.0450, -1.3937, -1.9018, 0.4540, 0.4935, 0.6975, 0.0138, -0.3609, -0.3516, -0.2178]),  # loss=0.0183
        "陈峻宇": np.float32([0.2614, -1.3322, -1.6586, 0.3602, 0.4754, 0.4789, 0.1066, -0.3558, -0.2517, -0.2406]),  # loss=0.0190
        "史源喆": np.float32([1.5873, -0.8981, -1.4584, 0.4095, 0.4045, 0.4995, 0.0515, -0.1715, -0.0168, -0.1221]),  # loss=0.0104
        "牛雅鹏":np.float32([-0.1248, -0.0500,  0.4631, -0.5103, -0.0606, -0.7483,  0.2760, -0.1548, 0.3174, -0.0892]), # 0.008357048034667969
        "陈瑞麟" : np.float32([-0.2913, -0.1749, -0.1064, -0.3675,  0.3492, -0.6533,  0.4886, -0.1642, 0.3935, -0.2283]), #0.019695673137903214
        "高傲": np.float32([0.4520, -2.2628, -1.0252,  0.5455,  0.0062,  0.3503, -0.0213, -0.5863, -0.8126, -0.3084]), # 0.030601125210523605
        "陈凯达" : np.float32([0.8934, -1.9904, -1.2478,  0.4276,  0.1065,  0.3306,  0.0144, -0.5505, -0.5846, -0.2779]), # 0.026886150240898132
        "张龙" : np.float32([0.1726, -0.3135,  0.5278, -0.5967, -0.1396, -0.9131,  0.3129, -0.2557,0.3119, -0.1242 ]), # 0.014578537084162235
        "李嘉男" : np.float32([-0.7388, -1.9526, -2.8666,  0.7063,  0.7587,  1.2194, -0.0604, -0.4975,-0.6028, -0.2924]), # 0.03734342381358147
        "张逸凡" : np.float32([-0.2441, -2.7637, -1.7362,  0.7828,  0.3759,  0.5750,  0.1301, -0.6817, -0.9489, -0.4759]), # 0.05596551671624184
        "王秋妍" : np.float32([-0.5805, -2.8944, -2.6398,  0.5244,  0.6018,  0.6586,  0.1537, -0.8407,-0.7327, -0.4902]), # 0.07485306262969971
        "贾凌一" : np.float32([-0.2775, -2.8461, -2.9457,  0.4668,  0.6819,  0.7498,  0.1342, -0.8670,-0.6245, -0.4698]), # 0.07790966331958771
        "廖林然" : np.float32([-0.3178, -1.1903, -2.7114, -0.1307,  1.1539,  0.1291,  0.5796, -0.4902, 0.4158, -0.4200]), # 0.07215002924203873
        "曲红日" : np.float32([0.5744, -2.1832, -3.9124,  0.6671,  1.8530,  1.6827,  0.3224, -0.6736, 0.0535, -0.4932]), # 0.12341322004795074
        "吴承泽" : np.float32([0.1900, -1.1826, -1.5839,  0.0635,  0.6239,  0.0581,  0.3609, -0.3910,  0.0651, -0.3189]) # 0.03259958699345589
        
    }
